﻿* Encoding: UTF-8.
* Encoding: .
 * /* Social Desirability and Political Sensitivity:Interviewer Gender Effects on Men in Five Arab Countries

 * Calvert W. Jones (cwjones@umd.edu) and Jocelyn Sage Mitchell (jsw25@georgetown.edu)

omsend.

weight by weight.
use all.
execute.


/* Q 35 BF POLITICAL SAFETY higher scores = safer answers

if q35B = 1 q35B_omit = 1.
if q35B = 2 q35B_omit = 2.
if q35B = 3 q35B_omit = 3.
if q35B = 4 q35B_omit = 4.
if q35B = 5 q35B_omit = 5.

if q35B >5 q35B_bothdkref = 1.
if q35B <6 q35B_bothdkref = 0. 

if q35F = 1 q35F_omit = 1.
if q35F = 2 q35F_omit = 2.
if q35F = 3 q35F_omit = 3.
if q35F = 4 q35F_omit = 4.
if q35F = 5 q35F_omit = 5.

if q35F >5 q35F_bothdkref = 1.
if q35F <6 q35F_bothdkref = 0. 


/* Q 35 DG SURVEILLANCE ANXIETY reversed -- HIGHER SCORES INDICATE less ANXEITY, WORRY

if q35D = 1 q35D_omit_r = 5.
if q35D = 2 q35D_omit_r = 4.
if q35D = 3 q35D_omit_r = 3.
if q35D = 4 q35D_omit_r = 2.
if q35D = 5 q35D_omit_r = 1.

if q35D >5 q35D_bothdkref = 1.
if q35D <6 q35D_bothdkref = 0. 

if q35G = 1 q35G_omit_r = 5.
if q35G = 2 q35G_omit_r = 4.
if q35G = 3 q35G_omit_r = 3.
if q35G = 4 q35G_omit_r = 2.
if q35G = 5 q35G_omit_r = 1.

if q35G >5 q35G_bothdkref = 1.
if q35G <6 q35G_bothdkref = 0. 

/* compute 35BF and 35DG indices, and also sums for DK or REF answers

compute q35BF_index = mean(q35B_omit, q35F_omit).

compute q35DG_index_r = mean(q35D_omit_r, q35G_omit_r).

compute q35DG_dkref_sum = sum(q35d_bothdkref, q35g_bothdkref).
compute q35BF_dkref_sum = sum(q35B_bothdkref, q35F_bothdkref).

/* compute DVs on 0 to 1 scale to determine percentage changes. 


 * compute q35DG_index_r_pc = q35DG_index_r/5.

/* support for gov control rather than free speech 47 ABC:  higher score indicates more support for government control
    
if q47A = 1 q47A_omit01 = 0.
if q47A = 2 q47A_omit01 = 1. 
if q47A > 2 q47A_bothdkref = 1.
if q47A < 3 q47A_bothdkref = 0.


value labels
q47A_omit01
0 'Support for free speech'
1 'Support for gov control'.
Execute.

value labels
q47A_bothdkref
0 'Answered question'
1 'DK or refused'.
Execute.

    

/* q37C In this country, laws governing journalism increase the accuracy of news coverage -

 if q37C = 1 q37C_omit = 1.
 if q37C = 2 q37C_omit = 2.
 if q37C = 3 q37C_omit = 3.
 if q37C = 4 q37C_omit = 4.
 if q37C = 5 q37C_omit = 5.

compute q37C_omit_pc = q37C_omit/5.


IF q37C > 5 q37C_bothdkref = 1.
if q37C <=5 q37C_bothdkref = 0.

if q39A > 6 q39A_interest_bal_bothdkref = 1.
if q39A < 6 q39A_interest_bal_bothdkref = 0.

    
/* country dummies

IF Q2 = 2 LEB = 1.
IF Q2 ~=2 LEB = 0.
IF Q2 = 3 QATAR  = 1.
IF Q2 ~=3 QATAR  = 0.
IF Q2 = 5 TUNISIA   = 1.
IF Q2 ~=5 TUNISIA   = 0.
IF Q2 = 6 UAE  = 1.
IF Q2 ~=6 UAE  = 0.
IF Q2 = 7 JORDAN    = 1.
IF Q2 ~=7 JORDAN    = 0.



IF Q54JORD = 1    JORD1 = 1.
IF Q54JORD = 2    JORD2 = 1.
IF Q54JORD = 3    JORD3 = 1.
IF Q54JORD = 4    JORD4 = 1.
IF Q54JORD = 5    JORD5 = 1.
IF Q54JORD = 6    JORD6 = 1.
IF Q54JORD = 7    JORD7 = 1.
IF Q54JORD = 8    JORD8 = 1.
IF Q54JORD = 9    JORD9 = 1.
IF Q54JORD = 10    JORD10 = 1.
IF Q54JORD = 11    JORD11 = 1.
IF Q54JORD = 12    JORD12 = 1.
IF Q54LEBANON = 1    LEBANON1 = 1.
IF Q54LEBANON = 2    LEBANON2 = 1.
IF Q54LEBANON = 3    LEBANON3 = 1.
IF Q54LEBANON = 4    LEBANON4 = 1.
IF Q54LEBANON = 5    LEBANON5 = 1.
IF Q54LEBANON = 6    LEBANON6 = 1.


IF Q54TUNISIA = 7    TUNISIA7 = 1.
IF Q54TUNISIA = 8    TUNISIA8 = 1.
IF Q54TUNISIA = 9    TUNISIA9 = 1.
IF Q54TUNISIA = 10    TUNISIA10 = 1.
IF Q54TUNISIA = 11    TUNISIA11 = 1.
IF Q54TUNISIA = 12    TUNISIA12 = 1.
IF Q54TUNISIA = 13    TUNISIA13 = 1.
IF Q54UAE = 54    UAE54 = 1.
IF Q54UAE = 55    UAE55 = 1.
IF Q54UAE = 56    UAE56 = 1.
IF Q54UAE = 57    UAE57 = 1.
IF Q54UAE = 58    UAE58 = 1.
IF Q54UAE = 59    UAE59 = 1.
IF Q54UAE = 60    UAE60 = 1.
IF Q54UAE = 61    UAE61 = 1.
IF Q54QATAR = 62    QATAR62 = 1.
IF Q54QATAR = 63    QATAR63 = 1.
IF Q54QATAR = 64    QATAR64 = 1.
IF Q54QATAR = 65    QATAR65 = 1.
IF Q54QATAR = 66    QATAR66 = 1.
IF Q54QATAR = 67    QATAR67 = 1.
IF Q54QATAR = 68    QATAR68 = 1.

IF Q54JORD NE 1    JORD1 = 0.
IF Q54JORD NE 2    JORD2 = 0.
IF Q54JORD NE 3    JORD3 = 0.
IF Q54JORD NE 4    JORD4 = 0.
IF Q54JORD NE 5    JORD5 = 0.
IF Q54JORD NE 6    JORD6 = 0.
IF Q54JORD NE 7    JORD7 = 0.
IF Q54JORD NE 8    JORD8 = 0.
IF Q54JORD NE 9    JORD9 = 0.
IF Q54JORD NE 10    JORD10 = 0.
IF Q54JORD NE 11    JORD11 = 0.
IF Q54JORD NE 12    JORD12 = 0.
IF Q54LEBANON NE 1    LEBANON1 = 0.
IF Q54LEBANON NE 2    LEBANON2 = 0.
IF Q54LEBANON NE 3    LEBANON3 = 0.
IF Q54LEBANON NE 4    LEBANON4 = 0.
IF Q54LEBANON NE 5    LEBANON5 = 0.
IF Q54LEBANON NE 6    LEBANON6 = 0.
IF Q54TUNISIA NE 7    TUNISIA7 = 0.
IF Q54TUNISIA NE 8    TUNISIA8 = 0.
IF Q54TUNISIA NE 9    TUNISIA9 = 0.
IF Q54TUNISIA NE 10    TUNISIA10 = 0.
IF Q54TUNISIA NE 11    TUNISIA11 = 0.
IF Q54TUNISIA NE 12    TUNISIA12 = 0.
IF Q54TUNISIA NE 13    TUNISIA13 = 0.
IF Q54UAE NE 54    UAE54 = 0.
IF Q54UAE NE 55    UAE55 = 0.
IF Q54UAE NE 56    UAE56 = 0.
IF Q54UAE NE 57    UAE57 = 0.
IF Q54UAE NE 58    UAE58 = 0.
IF Q54UAE NE 59    UAE59 = 0.
IF Q54UAE NE 60    UAE60 = 0.
IF Q54UAE NE 61    UAE61 = 0.
IF Q54QATAR NE 62    QATAR62 = 0.
IF Q54QATAR NE 63    QATAR63 = 0.
IF Q54QATAR NE 64    QATAR64 = 0.
IF Q54QATAR NE 65    QATAR65 = 0.
IF Q54QATAR NE 66    QATAR66 = 0.
IF Q54QATAR NE 67    QATAR67 = 0.
IF Q54QATAR NE 68    QATAR68 = 0.

/* compute urbanruralrating 1<200 2 <500 3 > 500 ppl/km2

if q2 = 7 and q54JORD = 1 urbanruralrating= 3.
if q2 = 7 and q54JORD = 5 urbanruralrating= 3.
if q2 = 7 and q54JORD = 2 urbanruralrating= 2.
if q2 = 7 and q54JORD = 3 urbanruralrating= 3.
if q2 = 7 and q54JORD = 6 urbanruralrating= 1.
if q2 = 7 and q54JORD = 9 urbanruralrating= 1.
if q2 = 7 and q54JORD = 7 urbanruralrating= 3.
if q2 = 7 and q54JORD = 12 urbanruralrating= 1.
if q2 = 7 and q54JORD = 11 urbanruralrating= 1.
if q2 = 7 and q54JORD = 8 urbanruralrating= 2.
if q2 = 7 and q54JORD = 4 urbanruralrating= 2.
if q2 = 7 and q54JORD = 10 urbanruralrating= 1.
if q2 = 2 and q54LEBANON = 5 urbanruralrating= 3.
if q2 = 2 and q54LEBANON = 4 urbanruralrating= 3.
if q2 = 2 and q54LEBANON = 1 urbanruralrating= 3.
if q2 = 2 and q54LEBANON = 3 urbanruralrating= 2.
if q2 = 2 and q54LEBANON = 6 urbanruralrating= 3.
if q2 = 2 and q54LEBANON = 2 urbanruralrating= 2.
if q2 = 3 and q54QATAR= 62 urbanruralrating= 3.
if q2 = 3 and q54QATAR= 63 urbanruralrating= 2.
if q2 = 3 and q54QATAR= 67 urbanruralrating= 1.
if q2 = 3 and q54QATAR= 64 urbanruralrating= 1.
if q2 = 3 and q54QATAR= 65 urbanruralrating= 2.
if q2 = 3 and q54QATAR= 66 urbanruralrating= 1.
if q2 = 3 and q54QATAR= 68 urbanruralrating= 1.
if q2 = 5 and q54TUNISIA= 13 urbanruralrating= 1.
if q2 = 5 and q54TUNISIA= 7 urbanruralrating= 3.
if q2 = 5 and q54TUNISIA= 12 urbanruralrating= 1.
if q2 = 5 and q54TUNISIA= 11 urbanruralrating= 2.
if q2 = 5 and q54TUNISIA= 8 urbanruralrating= 3.
if q2 = 5 and q54TUNISIA= 9 urbanruralrating= 3.
if q2 = 5 and q54TUNISIA= 10 urbanruralrating= 2.
if q2 = 6 and q54UAE= 54 urbanruralrating= 1.
if q2 = 6 and q54UAE= 55 urbanruralrating= 3.
if q2 = 6 and q54UAE= 60 urbanruralrating= 1.
if q2 = 6 and q54UAE= 56 urbanruralrating= 3.
if q2 = 6 and q54UAE= 57 urbanruralrating= 3.
if q2 = 6 and q54UAE= 59 urbanruralrating= 1.
if q2 = 6 and q54UAE= 58 urbanruralrating= 3.

/* compute urbanD 
    
if urbanruralrating >1 urbanD = 1.
if urbanruralrating = 1   urbanD = 0.


/* adjust Abu Dhabi from rural to urban
if q2 = 6 and q54UAE= 54 urbanD= 1.



/* Compute "news media reliance" variable

if (q39A = 1) q39A_interest_omit = 1.
if (q39A = 2) q39A_interest_omit = 2.
if (q39A = 3) q39A_interest_omit = 3.
if (q39A = 4) q39A_interest_omit = 4.
if (q39A = 5) q39A_interest_omit = 5.
if (q39A = 6) q39A_interest_omit = 6.
Execute.

IF  (Q39A_interest_omit < 3) q39A_interest_bal=1.
IF  (Q39A_interest_omit = 3 or Q39A_interest_omit = 4) q39A_interest_bal=2.
IF  (Q39A_interest_omit = 5 or Q39A_interest_omit = 6) q39A_interest_bal=3.

value labels
q39A_interest_omit
1 'Never'
2 'Less than once a month'
3 'Monthly'
4 'Weekly'
5 'Once a day'
6 'Several times a day'.
Execute.


 * /* compute income levels by country 

if (q51UAE < 8) q51_income_bal = 1.
if (q51UAE = 8) q51_income_bal = 2.
if (q51UAE = 9) q51_income_bal = 2.
if (q51UAE = 10) q51_income_bal = 3.
if (q51UAE = 11) q51_income_bal = 3.
if (q51UAE = 12 ) q51_income_bal = 3.
if (q51UAE > 12) q51_income_dkref = 1.
if (q51UAE <= 12) q51_income_dkref = 0.


if (q51Lebanon < 5) q51_income_bal = 1.
if (q51Lebanon = 5) q51_income_bal = 2.
if (q51Lebanon = 6) q51_income_bal = 2.
if (q51Lebanon = 7) q51_income_bal = 2.
if (q51Lebanon = 8) q51_income_bal = 3.
if (q51Lebanon = 9) q51_income_bal = 3.
if (q51Lebanon = 10) q51_income_bal = 3.
if (q51Lebanon = 11) q51_income_bal = 3.
if (q51Lebanon = 12) q51_income_bal = 3.
if (q51Lebanon >12) q51_income_dkref = 1.
if (q51Lebanon <= 12) q51_income_dkref = 0.


if (q51Tunisia < 5) q51_income_bal = 1.
if (q51Tunisia = 5) q51_income_bal = 2.
if (q51Tunisia = 6) q51_income_bal = 2.
if (q51Tunisia = 7) q51_income_bal = 3. 
if (q51Tunisia = 8) q51_income_bal = 3.
if (q51Tunisia = 9) q51_income_bal = 3. 
if (q51Tunisia = 10) q51_income_bal = 3. 
if (q51Tunisia = 11) q51_income_bal = 3.
if (q51Tunisia = 12) q51_income_bal = 3.
if (q51Tunisia > 12) q51_income_dkref = 1.
if (q51Tunisia <= 12) q51_income_dkref = 0.


if q51JORD = 1 q51_income_bal = 1.
if q51JORD = 2 q51_income_bal = 1.
if q51JORD = 3 q51_income_bal = 1.
if q51JORD = 4 q51_income_bal = 1.
if q51JORD = 5 q51_income_bal = 1.
if q51JORD = 6 q51_income_bal = 2.
if q51JORD = 7 q51_income_bal = 2.
if q51JORD = 8 q51_income_bal = 2.
if q51JORD = 9 q51_income_bal = 2.
if q51JORD = 10 q51_income_bal = 3.
if q51JORD = 11 q51_income_bal = 3.
if q51JORD = 12 q51_income_bal = 3.
if q51JORD > 12 Q51_income_dkref = 1.
if q51JORD <= 12 Q51_income_dkref = 0.

if q51qatar > 15 q51_income_dkref = 1.
if q51qatar <= 15 q51_income_dkref = 0.


value labels
    q51_income_bal
    1 'Low'
    2 'Middle'
    3 'High'.
Execute.

value labels
q39A_interest_bal
1 'Low interest 1-2'
2 'Moderately interested 3-4'
3 'High interest 5-6'.
Execute.

/* compute age groups (omitting respondents under 18)

if (q4> 17) age_omit = q4.
IF  (age_omit > 17 and age_omit<27) agegroup_bal=1.
IF  (age_omit > 26 and age_omit<40) agegroup_bal=2.
IF  (age_omit > 39) agegroup_bal=3.

value labels
agegroup_bal
1 '18-26'
2 '27-39'
3 '40 and over'.
Execute.


/*compute ideology grouping variable

IF  (Q48 = 1 or q48 = 2) q48_ideology=1.
IF  (Q48 = 3) q48_ideology=2.
IF  (Q48 = 4 or q48 = 5) q48_ideology=3.
IF (Q48>= 5) Q48_ideology_dkref = 1. 
If (q48 < 6) q48_ideology_dkref = 0.

VALUE LABELS
q48_ideology
1 'Conservative'
2 'Neither'
3 'Progressive'.
Execute.

/* create employment status variable

IF (Q6 = 1) Q6_employed = 1.
IF (Q6 = 2) Q6_employed = 0.
execute.

VALUE LABELS
Q6_employed
1 'Employed'
0 'Not employed'.
Execute.

/* change gender codes to 0 and 1 for interviewer gender.

If (q55=1) Q55_int_gen=0.
if (q55=2) Q55_int_gen=1.
Execute.

/* change gender codes to 0 and 1 for respondent gender.

if (q3_Genderofrespondent = 1) q3_resp_gen = 0.
if (q3_Genderofrespondent = 2) q3_resp_gen = 1.

value labels
Q55_int_gen
0 'Man'
1 'Woman'.
Execute.

value labels
Q3_resp_gen
0 'Man'
1 'Woman'.
Execute.



/* compute education level groups

IF (Q50 <= 5) Q50_educ_bal= 1.
IF (Q50 = 6)  Q50_educ_bal= 2.
if (q50 = 7) Q50_educ_bal= 2.
if (q50 = 8) Q50_educ_bal= 2.
IF (Q50 = 9)  Q50_educ_bal= 3.
IF (q50 = 10) Q50_educ_bal= 3.
Execute.

Value labels
q50_educ_bal
1 'Intermediate or less 1-5'
2 'Higher than intermediate but did not complete college 6-8'
3 'Bachelors degree or higher'.
Execute.

/* compute religiosity groups

IF (Q49 < 4) Q49_relig = 1.
if (q49 = 4 or q49 = 5 or q49 = 6) q49_relig = 2.
If (q49 = 7 or q49 = 8 or q49 = 9)  q49_relig = 3.
IF (Q49 = 77 or Q49 = 99) q49_relig_dkref = 1. 
If q49 <10 q49_relig_dkref = 0. 
Execute.

VALUE LABELS
Q49_relig
1 'Low'
2 'Moderate'
3 'High'.
Execute.

if (q52 = 1 or q52 = 3 or q52 = 4) q52_omit = 0. 
if q52 = 2 q52_omit = 1.

value labels
q52_omit
0 'Not married'
1 'Married'.
Execute.

 * variable labels
    q37C_bothdkref  'Nonresponse: Country laws are effective'
    q35DG_dkref_sum 'Nonresponse: Not worried about surveillance'
    q35BF_dkref_sum 'Nonresponse: Safe to talk freely about politics'
    q47A_bothdkref 'Nonresponse: Support for regimes power to prevent criticism'
    q39A_interest_bal_bothdkref 'Nonresponse: Political interest'
    q49_relig_dkref 'Nonresponse: Religiosity'
    q51_income_dkref 'Nonresponse: Income Level'
    q48_ideology_dkref 'Nonresponse:Cultural Progressiveness'.
 * Execute.


variable labels
    q2 'Country'
    q3_resp_gen 'Respondent Gender'
    agegroup_bal 'Age Group'
    Q50_educ_bal 'Education'
    q47A_omit01 'Support for regime power to prevent criticism'
    q49_relig 'Religiosity'
    q35BF_index 'Safe to talk freely about politics'    
    q35DG_index_r 'Not worried about surveillance'
    q37C_omit 'Country laws are effective'
    q35DG_dkref_sum 'Nonresponse: Not worried about surveillance'
    q35BF_dkref_sum 'Nonresponse: Safe to talk freely about politics'
    q37C_bothdkref 'Nonresponse: Country laws are effective'
    q47A_bothdkref 'Nonresponse: Support for regime power to prevent criticism'
    q48_ideology 'Cultural Progressivism'
    q48_ideology_dkref 'Nonresponse: Cultural Progressiveness'
    q49_relig_dkref 'Nonresponse: Religiosity'
    q51_income_bal 'Income Level'
    q51_income_dkref 'Nonresponse: Income Level'
    q6_employed 'Employment'
    q39A_interest_bal 'Political Interest'
    q55_int_gen 'Interviewer Gender'
    q52_omit 'Marital status'
    urbanD 'Rural-Urban'
    q35B_bothdkref 'Nonresponse On the Internet, it is safe to say whatever one thinks about politics/news and current affairs'
    q35F_bothdkref 'Nonresponse In general, I feel comfortable saying what I think about politics/news and current affairs'
    q35D_bothdkref 'Nonresponse I am worried about governments checking what I do online/I am concerned other people are violating my privacy online (WIP) '
    q35G_bothdkref 'Nonresponse I am worried about companies checking what I do online'.
   
    Execute.

/* ********************************************************************************************************************************
/* Table 1 Interviewer gender by respondent gender and country

weight by weight.

USE ALL.
COMPUTE filter_$=(Q8  =1 and (q2=2 or q2=3 or q2=5 or q2=6 or q2 = 7)).
VARIABLE LABELS filter_$ 'Q8 = 1 and (q2=2 or q2=3 or q2=5 or q2=6 or q2 = 7) '+
    '(FILTER)'.
VALUE LABELS filter_$ 0 'Not Selected' 1 'Selected'.
FORMATS filter_$ (f1.0).
FILTER BY filter_$.
EXECUTE.     

CROSSTABS 
  /TABLES=q3_resp_gen BY Q55_int_gen 
  /FORMAT=AVALUE TABLES 
  /CELLS=COUNT ROW 
  /COUNT ROUND CELL.

CROSSTABS 
  /TABLES=q3_resp_gen BY Q55_int_gen BY Q2 
  /FORMAT=AVALUE TABLES 
  /CELLS=COUNT ROW 
  /COUNT ROUND CELL.


/* *****************************************************************************************************************
/* Table 2 Assignment to a Woman Interviewer in Five Arab Countries


weight by weight.

USE ALL.
COMPUTE filter_$=(Q8  =1 and (q2=2 or q2=3 or q2=5 or q2=6 or q2 = 7)).
VARIABLE LABELS filter_$ 'Q8 = 1 and (q2=2 or q2=3 or q2=5 or q2=6 or q2 = 7) '+
    '(FILTER)'.
VALUE LABELS filter_$ 0 'Not Selected' 1 'Selected'.
FORMATS filter_$ (f1.0).
FILTER BY filter_$.
EXECUTE.     

LOGISTIC REGRESSION VARIABLES Q55_int_gen 
  /METHOD=ENTER q3_resp_gen agegroup_bal Q50_educ_bal Q6_employed q52_omit LEB QATAR TUNISIA UAE 
  /PRINT=GOODFIT
  /CRITERIA=PIN(.05) POUT(.10) ITERATE(20) CUT(.5).


USE ALL.
COMPUTE filter_$=(Q8  =1 and (q2=2 or q2=3 or q2=5 or q2=6 or q2 = 7) and q3_resp_gen = 0).
VARIABLE LABELS filter_$ 'Q8 = 1 and (q2=2 or q2=3 or q2=5 or q2=6 or q2 = 7) '+
    '(FILTER)'.
VALUE LABELS filter_$ 0 'Not Selected' 1 'Selected'.
FORMATS filter_$ (f1.0).
FILTER BY filter_$.
EXECUTE.     

    
LOGISTIC REGRESSION VARIABLES Q55_int_gen 
  /METHOD=ENTER agegroup_bal Q50_educ_bal Q6_employed q52_omit LEB QATAR TUNISIA UAE 
  /PRINT=GOODFIT
  /CRITERIA=PIN(.05) POUT(.10) ITERATE(20) CUT(.5).


/* *****************************************************************************************************************

/* Table 5 Men's Response Patterns

weight by weight.

 * Political interest

USE ALL.
COMPUTE filter_$=(Q8  =1 and (q2=2 or q2=3 or q2=5 or q2=6 or q2 = 7)  and q3_resp_gen = 0).
VARIABLE LABELS filter_$ 'Q8 = 1 and (q2=2 or q2=3 or q2=5 or q2=6 or q2 = 7)  and q3_resp_gen = 0 '+
    '(FILTER)'.
VALUE LABELS filter_$ 0 'Not Selected' 1 'Selected'.
FORMATS filter_$ (f1.0).
FILTER BY filter_$.
EXECUTE.     

    

REGRESSION
/DESCRIPTIVES MEAN STDDEV
  /MISSING listwise
  /STATISTICS COEFF OUTS CI (95) R ANOVA
  /CRITERIA=PIN(.05) POUT(.10)
  /NOORIGIN
  /DEPENDENT  q39A_interest_bal
   /METHOD=ENTER q55_int_gen  agegroup_bal Q50_educ_bal 
    Q6_employed  q52_omit QATAR  UAE  TUNISIA   JORDAN.

/* AGGREGATE INCLUDES JORDAN, religiosity and income levels are omitted from regressions

/* Safe to talk freely about politics 

REGRESSION
/DESCRIPTIVES MEAN STDDEV
  /MISSING listwise
  /STATISTICS COEFF CI (95) OUTS CI (95) R ANOVA
  /CRITERIA=PIN(.05) POUT(.10)
  /NOORIGIN
  /DEPENDENT  q35BF_index
   /METHOD=ENTER q55_int_gen  agegroup_bal Q50_educ_bal 
    Q6_employed  q52_omit QATAR  UAE  TUNISIA   JORDAN.

/* Not worried about surveillance

REGRESSION
/DESCRIPTIVES MEAN STDDEV
  /MISSING listwise
  /STATISTICS COEFF OUTS CI (95) R ANOVA
  /CRITERIA=PIN(.05) POUT(.10)
  /NOORIGIN
  /DEPENDENT  q35DG_index_r
  /METHOD=ENTER q55_int_gen agegroup_bal Q50_educ_bal
    Q6_employed  q52_omit QATAR  UAE  TUNISIA   JORDAN  .

/* Country's laws are effective

REGRESSION
/DESCRIPTIVES MEAN STDDEV
  /MISSING listwise
  /STATISTICS COEFF OUTS CI (95) R ANOVA
  /CRITERIA=PIN(.05) POUT(.10)
  /NOORIGIN
  /DEPENDENT  q37C_omit
   /METHOD=ENTER q55_int_gen agegroup_bal Q50_educ_bal
    Q6_employed  q52_omit QATAR  UAE  TUNISIA   JORDAN  .


/* aggregate support for gov control, excludes Jordan
/* support for regime's power to prevent criticism

USE ALL.
COMPUTE filter_$=(Q8  =1 and (q2=2 or q2=3 or q2=5 or q2=6)  and q3_resp_gen = 0).
VARIABLE LABELS filter_$ 'Q8 = 1 and (q2=2 or q2=3 or q2=5 or q2=6)  and q3_resp_gen = 0 '+
    '(FILTER)'.
VALUE LABELS filter_$ 0 'Not Selected' 1 'Selected'.
FORMATS filter_$ (f1.0).
FILTER BY filter_$.
EXECUTE.


LOGISTIC REGRESSION VARIABLES q47A_omit01 
  /METHOD=ENTER Q55_int_gen agegroup_bal q50_educ_bal Q6_employed q52_omit QATAR UAE TUNISIA
  /PRINT=CI (95) 
  /CRITERIA=PIN(.05) POUT(.10) ITERATE(20) CUT(.5).

    
/* Table 5 Socially Sensitive Questions

/* Religiosity

USE ALL.
COMPUTE filter_$=(Q8  =1 and (q2=2  or q2=3 or q2=5 or q2=6)  and q3_resp_gen = 0).
VARIABLE LABELS filter_$ 'Q8 = 1 and (q2=2 or q2=3 or q2=5 or q2=6)  and q3_resp_gen = 0 '+
    '(FILTER)'.
VALUE LABELS filter_$ 0 'Not Selected' 1 'Selected'.
FORMATS filter_$ (f1.0).
FILTER BY filter_$.
EXECUTE.     


REGRESSION
/DESCRIPTIVES MEAN STDDEV
  /MISSING listwise
  /STATISTICS COEFF OUTS CI (95) R ANOVA
  /CRITERIA=PIN(.05) POUT(.10)
  /NOORIGIN
  /DEPENDENT  q49_relig
  /METHOD=ENTER q55_int_gen    agegroup_bal Q50_educ_bal
    Q6_employed  q52_omit  QATAR  UAE  TUNISIA.
    
/* Income

USE ALL.
COMPUTE filter_$=(Q8  =1 and (q2=2  or q2=5 or q2=6 or q2 = 7)  and q3_resp_gen = 0).
VARIABLE LABELS filter_$ 'Q8 = 1 and (q2=2 or q2=3 or q2=5 or q2=6 or q2 = 7)  and q3_resp_gen = 0 '+
    '(FILTER)'.
VALUE LABELS filter_$ 0 'Not Selected' 1 'Selected'.
FORMATS filter_$ (f1.0).
FILTER BY filter_$.
EXECUTE.     

REGRESSION
/DESCRIPTIVES MEAN STDDEV
  /MISSING listwise
  /STATISTICS COEFF OUTS R ANOVA
  /CRITERIA=PIN(.05) POUT(.10)
  /NOORIGIN
  /DEPENDENT  q51_income_bal
  /METHOD=ENTER q55_int_gen  agegroup_bal  Q50_educ_bal 
      Q6_employed  q52_omit  UAE  TUNISIA   JORDAN  .
  
/* Cultural Progressiveness

USE ALL.
COMPUTE filter_$=(Q8  =1 and (q2=2 or q2=3 or q2=5 or q2=6 or q2 = 7)  and q3_resp_gen = 0).
VARIABLE LABELS filter_$ 'Q8 = 1 and (q2=2 or q2=3 or q2=5 or q2=6 or q2 = 7)  and q3_resp_gen = 0 '+
    '(FILTER)'.
VALUE LABELS filter_$ 0 'Not Selected' 1 'Selected'.
FORMATS filter_$ (f1.0).
FILTER BY filter_$.
EXECUTE.     

REGRESSION
/DESCRIPTIVES MEAN STDDEV
  /MISSING listwise
  /STATISTICS COEFF OUTS R ANOVA
  /CRITERIA=PIN(.05) POUT(.10)
  /NOORIGIN
  /DEPENDENT  q48_ideology
  /METHOD=ENTER q55_int_gen  agegroup_bal Q50_educ_bal 
    Q6_employed  q52_omit QATAR  UAE  TUNISIA   JORDAN.


/* *********************************************************************************************************************************************
/* Table 6  Men's Item Nonresponse Patterns

/* Political interest nonresonse

USE ALL.
COMPUTE filter_$=(Q8  =1 and (q2=3 or q2=5 or q2=6 or q2=7)  and q3_resp_gen = 0).
VARIABLE LABELS filter_$ 'Q8 = 1 and (q2=3 or q2=5 or q2=6  or q2=7)  and q3_resp_gen = 0 '+
    '(FILTER)'.
VALUE LABELS filter_$ 0 'Not Selected' 1 'Selected'.
FORMATS filter_$ (f1.0).
FILTER BY filter_$.
EXECUTE.


LOGISTIC REGRESSION VARIABLES q39A_interest_bal_bothdkref 
  /METHOD=ENTER Q55_int_gen agegroup_bal Q50_educ_bal  Q6_employed    
    q52_omit    UAE TUNISIA   JORDAN 
      /PRINT=CI (95)    
  /CRITERIA=PIN(.05) POUT(.10) ITERATE(20) CUT(.5).
  
/* Safe to talk freely about politics nonresponse

weight by weight.

USE ALL.
COMPUTE filter_$=(Q8  =1 and (q2=3 or q2=5 or q2=6 or q2=7)  and q3_resp_gen = 0).
VARIABLE LABELS filter_$ 'Q8 = 1 and (q2=3 or q2=5 or q2=6  or q2=7)  and q3_resp_gen = 0 '+
    '(FILTER)'.
VALUE LABELS filter_$ 0 'Not Selected' 1 'Selected'.
FORMATS filter_$ (f1.0).
FILTER BY filter_$.
EXECUTE.

REGRESSION
/DESCRIPTIVES MEAN STDDEV
  /MISSING listwise
  /STATISTICS COEFF OUTS R ANOVA
  /CRITERIA=PIN(.05) POUT(.10)
  /NOORIGIN
  /DEPENDENT  q35BF_dkref_sum
  /METHOD=ENTER q55_int_gen   AGEGROUP_BAL Q50_educ_bal 
      Q6_employed  q52_omit    UAE  TUNISIA   JORDAN                 .

/* Not worried about surveillance nonresponse

REGRESSION
/DESCRIPTIVES MEAN STDDEV
  /MISSING listwise
  /STATISTICS COEFF OUTS R ANOVA
  /CRITERIA=PIN(.05) POUT(.10)
  /NOORIGIN
  /DEPENDENT  q35DG_dkref_sum
  /METHOD=ENTER q55_int_gen agegroup_bal  Q50_educ_bal 
    Q6_employed  q52_omit     UAE  TUNISIA   JORDAN.

/* Country's laws are effective nonresponse

LOGISTIC REGRESSION VARIABLES q37C_bothdkref 
  /METHOD=ENTER Q55_int_gen agegroup_bal Q50_educ_bal  Q6_employed    
    q52_omit    UAE TUNISIA   JORDAN 
      /PRINT=CI (95)    
  /CRITERIA=PIN(.05) POUT(.10) ITERATE(20) CUT(.5).

/* Support for regime's power to prevent criticism nonresponse

USE ALL.
COMPUTE filter_$=(Q8  =1 and (q2=3 or q2=5 or q2=6)  and q3_resp_gen = 0).
VARIABLE LABELS filter_$ 'Q8 = 1 and (q2=3 or q2=5 or q2=6  or q2=7)  and q3_resp_gen = 0 '+
    '(FILTER)'.
VALUE LABELS filter_$ 0 'Not Selected' 1 'Selected'.
FORMATS filter_$ (f1.0).
FILTER BY filter_$.
EXECUTE.


  LOGISTIC REGRESSION VARIABLES q47A_bothdkref 
  /METHOD=ENTER Q55_int_gen agegroup_bal Q50_educ_bal  Q6_employed    
    q52_omit UAE TUNISIA 
         /PRINT=CI (95)   
     /CRITERIA=PIN(.05) POUT(.10) ITERATE(20) CUT(.5). 
  


weight by weight.

/* Table 6 Socially sensitive questions nonresponse (omit Lebanon due to low nonresponse frequencies)

/* Religiosity non response omits Jordan

USE ALL.
COMPUTE filter_$=(Q8  =1 and (q2=3 or q2=5 or q2=6)  and q3_resp_gen = 0).
VARIABLE LABELS filter_$ 'Q8 = 1 and (q2=3 or q2=5 or q2=6)  and q3_resp_gen = 0 '+
    '(FILTER)'.
VALUE LABELS filter_$ 0 'Not Selected' 1 'Selected'.
FORMATS filter_$ (f1.0).
FILTER BY filter_$.
EXECUTE.

LOGISTIC REGRESSION VARIABLES q49_relig_dkref 
  /METHOD=ENTER Q55_int_gen agegroup_bal Q50_educ_bal  Q6_employed    
    q52_omit     TUNISIA UAE    
      /PRINT=CI (95) 
  /CRITERIA=PIN(.05) POUT(.10) ITERATE(20) CUT(.5).


/* Income nonresponse

weight by weight.

USE ALL.
COMPUTE filter_$=(Q8  =1 and (q2=5 or q2=6 or q2=7)  and q3_resp_gen = 0).
VARIABLE LABELS filter_$ 'Q8 = 1 and (q2=5 or q2=6  or q2=7)  and q3_resp_gen = 0 '+
    '(FILTER)'.
VALUE LABELS filter_$ 0 'Not Selected' 1 'Selected'.
FORMATS filter_$ (f1.0).
FILTER BY filter_$.
EXECUTE.


LOGISTIC REGRESSION VARIABLES q51_income_dkref
  /METHOD=ENTER Q55_int_gen agegroup_bal Q50_educ_bal  Q6_employed    
    q52_omit    TUNISIA   JORDAN    
      /PRINT=CI (95) 
  /CRITERIA=PIN(.05) POUT(.10) ITERATE(20) CUT(.5).

/* Supplementary Material - Online Appendix Statistical Tables
    
/* Table C1. Dependent Variables: Response Tendencies

weight by weight.

USE ALL. 
COMPUTE filter_$=(Q8  =1 and (q2=2 or q2=3 or q2=5 or q2=6 or q2 = 7)  and q3_resp_gen = 0). 
VARIABLE LABELS filter_$ 'Q8 = 1 and (q2=2 or q2=3 or q2=5 or q2=6 or q2 = 7)  and q3_resp_gen = 0 '+ 
    '(FILTER)'. 
VALUE LABELS filter_$ 0 'Not Selected' 1 'Selected'. 
FORMATS filter_$ (f1.0). 
FILTER BY filter_$. 
EXECUTE. 

MEANS TABLES=q39A_interest_bal q35BF_index q35DG_index_r q37C_omit q47A_omit01 Q49_relig 
    q51_income_bal q48_ideology 
  /CELLS=MEAN COUNT STDDEV.

/* Table C2. Dependent Variables: Item Nonresponse (%)  (0=answered question, 1=don't know or refused)
    
weight by weight.
USE ALL. 
COMPUTE filter_$=(Q8  =1 and (q2=2 or q2=3 or q2=5 or q2=6 or q2 = 7)  and q3_resp_gen = 0). 
VARIABLE LABELS filter_$ 'Q8 = 1 and (q2=2 or q2=3 or q2=5 or q2=6 or q2 = 7)  and q3_resp_gen = 0 '+ 
    '(FILTER)'. 
VALUE LABELS filter_$ 0 'Not Selected' 1 'Selected'. 
FORMATS filter_$ (f1.0). 
FILTER BY filter_$. 
EXECUTE. 


CROSSTABS 
  /TABLES=q39A_interest_bal_bothdkref q35B_bothdkref q35F_bothdkref q35D_bothdkref q35G_bothdkref 
    q37C_bothdkref q47A_bothdkref q49_relig_dkref q51_income_dkref Q48_ideology_dkref BY Q2 
  /FORMAT=AVALUE TABLES 
  /CELLS=COUNT COLUMN 
  /COUNT ROUND CELL.

/* Table D1. Politically sensitve questions, Models 1, 2, and 3
  
/* Model 1

USE ALL.
COMPUTE filter_$=(Q8  =1 and (q2=2 or q2=3 or q2=5 or q2=6 or q2 = 7)  and q3_resp_gen = 0).
VARIABLE LABELS filter_$ 'Q8 = 1 and (q2=2 or q2=3 or q2=5 or q2=6 or q2 = 7)  and q3_resp_gen = 0 '+
    '(FILTER)'.
VALUE LABELS filter_$ 0 'Not Selected' 1 'Selected'.
FORMATS filter_$ (f1.0).
FILTER BY filter_$.
EXECUTE.     

/* Political interest

REGRESSION
/DESCRIPTIVES MEAN STDDEV
  /MISSING listwise
  /STATISTICS COEFF OUTS CI (95) R ANOVA
  /CRITERIA=PIN(.05) POUT(.10)
  /NOORIGIN
  /DEPENDENT  q39A_interest_bal
   /METHOD=ENTER q55_int_gen QATAR  UAE  TUNISIA   JORDAN.

/* Safe to talk freely about politics

REGRESSION
/DESCRIPTIVES MEAN STDDEV
  /MISSING listwise
  /STATISTICS COEFF CI (95) OUTS CI (95) R ANOVA
  /CRITERIA=PIN(.05) POUT(.10)
  /NOORIGIN
  /DEPENDENT  q35BF_index
   /METHOD=ENTER q55_int_gen QATAR  UAE  TUNISIA   JORDAN.

/* Not worried about surveillance

REGRESSION
/DESCRIPTIVES MEAN STDDEV
  /MISSING listwise
  /STATISTICS COEFF OUTS CI (95) R ANOVA
  /CRITERIA=PIN(.05) POUT(.10)
  /NOORIGIN
  /DEPENDENT  q35DG_index_r
  /METHOD=ENTER q55_int_gen QATAR  UAE  TUNISIA   JORDAN .

/* Country's laws are effective

REGRESSION
/DESCRIPTIVES MEAN STDDEV
  /MISSING listwise
  /STATISTICS COEFF OUTS CI (95) R ANOVA
  /CRITERIA=PIN(.05) POUT(.10)
  /NOORIGIN
  /DEPENDENT  q37C_omit
   /METHOD=ENTER q55_int_gen  QATAR  UAE  TUNISIA   JORDAN .

/* support for regime to prevent criticism (not included in robustness checks since it wasn't significant
    

/* Model 2
    
USE ALL.
COMPUTE filter_$=(Q8  =1 and (q2=2 or q2=3 or q2=5 or q2=6 or q2 = 7)  and q3_resp_gen = 0).
VARIABLE LABELS filter_$ 'Q8 = 1 and (q2=2 or q2=3 or q2=5 or q2=6 or q2 = 7)  and q3_resp_gen = 0 '+
    '(FILTER)'.
VALUE LABELS filter_$ 0 'Not Selected' 1 'Selected'.
FORMATS filter_$ (f1.0).
FILTER BY filter_$.
EXECUTE.     

/* Political Interest

REGRESSION
/DESCRIPTIVES MEAN STDDEV
  /MISSING listwise
  /STATISTICS COEFF OUTS CI (95) R ANOVA
  /CRITERIA=PIN(.05) POUT(.10)
  /NOORIGIN
  /DEPENDENT  q39A_interest_bal
   /METHOD=ENTER q55_int_gen  agegroup_bal Q50_educ_bal
    Q6_employed  q52_omit QATAR  UAE  TUNISIA   JORDAN.


/* Safe to talk freely about politics  deleting q39A_interest_bal,

REGRESSION
/DESCRIPTIVES MEAN STDDEV
  /MISSING listwise
  /STATISTICS COEFF CI (95) OUTS CI (95) R ANOVA
  /CRITERIA=PIN(.05) POUT(.10)
  /NOORIGIN
  /DEPENDENT  q35BF_index
   /METHOD=ENTER q55_int_gen   agegroup_bal Q50_educ_bal
    Q6_employed  q52_omit QATAR  UAE  TUNISIA   JORDAN.

/* Not worried about surveillance

REGRESSION
/DESCRIPTIVES MEAN STDDEV
  /MISSING listwise
  /STATISTICS COEFF OUTS CI (95) R ANOVA
  /CRITERIA=PIN(.05) POUT(.10)
  /NOORIGIN
  /DEPENDENT  q35DG_index_r
  /METHOD=ENTER q55_int_gen   agegroup_bal Q50_educ_bal
    Q6_employed  q52_omit QATAR  UAE  TUNISIA   JORDAN .

/* Country's laws are effective

REGRESSION
/DESCRIPTIVES MEAN STDDEV
  /MISSING listwise
  /STATISTICS COEFF OUTS CI (95) R ANOVA
  /CRITERIA=PIN(.05) POUT(.10)
  /NOORIGIN
  /DEPENDENT  q37C_omit
   /METHOD=ENTER q55_int_gen   agegroup_bal Q50_educ_bal
    Q6_employed  q52_omit QATAR  UAE  TUNISIA   JORDAN .

/* Table D2. Socially sensitive questions, Models 1 and 2
    

/* Model 1 religiosity    

USE ALL.
COMPUTE filter_$=(Q8  =1 and (q2=2 or q2=3 or q2=5 or q2=6)  and q3_resp_gen = 0).
VARIABLE LABELS filter_$ 'Q8 = 1 and (q2=2 or q2=3 or q2=5 or q2=6)  and q3_resp_gen = 0 '+
    '(FILTER)'.
VALUE LABELS filter_$ 0 'Not Selected' 1 'Selected'.
FORMATS filter_$ (f1.0).
FILTER BY filter_$.
EXECUTE.     


REGRESSION
/DESCRIPTIVES MEAN STDDEV
  /MISSING listwise
  /STATISTICS COEFF OUTS CI (95) R ANOVA
  /CRITERIA=PIN(.05) POUT(.10)
  /NOORIGIN
  /DEPENDENT  Q49_relig
   /METHOD=ENTER q55_int_gen  QATAR  UAE  TUNISIA  .

/* Model 1 income

USE ALL.
COMPUTE filter_$=(Q8  =1 and (q2=2 or q2=5 or q2=6 or q2 = 7)  and q3_resp_gen = 0).
VARIABLE LABELS filter_$ 'Q8 = 1 and (q2=2 or q2=5 or q2=6 or q2 = 7)  and q3_resp_gen = 0 '+
    '(FILTER)'.
VALUE LABELS filter_$ 0 'Not Selected' 1 'Selected'.
FORMATS filter_$ (f1.0).
FILTER BY filter_$.
EXECUTE.     


REGRESSION
/DESCRIPTIVES MEAN STDDEV
  /MISSING listwise
  /STATISTICS COEFF OUTS CI (95) R ANOVA
  /CRITERIA=PIN(.05) POUT(.10)
  /NOORIGIN
  /DEPENDENT  q51_income_bal
   /METHOD=ENTER q55_int_gen UAE  TUNISIA   JORDAN .

/* Model 1 cultural progressiveness

USE ALL.
COMPUTE filter_$=(Q8  =1 and (q2=2 or q2=3 or q2=5 or q2=6 or q2 = 7)  and q3_resp_gen = 0).
VARIABLE LABELS filter_$ 'Q8 = 1 and (q2=2 or q2=3 or q2=5 or q2=6 or q2 = 7)  and q3_resp_gen = 0 '+
    '(FILTER)'.
VALUE LABELS filter_$ 0 'Not Selected' 1 'Selected'.
FORMATS filter_$ (f1.0).
FILTER BY filter_$.
EXECUTE.     

REGRESSION
/DESCRIPTIVES MEAN STDDEV
  /MISSING listwise
  /STATISTICS COEFF OUTS CI (95) R ANOVA
  /CRITERIA=PIN(.05) POUT(.10)
  /NOORIGIN
  /DEPENDENT  q48_ideology
   /METHOD=ENTER q55_int_gen  QATAR  UAE  TUNISIA   JORDAN .


/* Model 2 religiosity   

USE ALL.
COMPUTE filter_$=(Q8  =1 and (q2=2 or q2=3 or q2=5 or q2=6)  and q3_resp_gen = 0).
VARIABLE LABELS filter_$ 'Q8 = 1 and (q2=2 or q2=3 or q2=5 or q2=6)  and q3_resp_gen = 0 '+
    '(FILTER)'.
VALUE LABELS filter_$ 0 'Not Selected' 1 'Selected'.
FORMATS filter_$ (f1.0).
FILTER BY filter_$.
EXECUTE.     


REGRESSION
/DESCRIPTIVES MEAN STDDEV
  /MISSING listwise
  /STATISTICS COEFF OUTS CI (95) R ANOVA
  /CRITERIA=PIN(.05) POUT(.10)
  /NOORIGIN
  /DEPENDENT  Q49_relig
   /METHOD=ENTER q55_int_gen  QATAR  UAE  TUNISIA  .

/* Model 2 income 

USE ALL.
COMPUTE filter_$=(Q8  =1 and (q2=2 or q2=5 or q2=6 or q2 = 7)  and q3_resp_gen = 0).
VARIABLE LABELS filter_$ 'Q8 = 1 and (q2=2 or q2=5 or q2=6 or q2 = 7)  and q3_resp_gen = 0 '+
    '(FILTER)'.
VALUE LABELS filter_$ 0 'Not Selected' 1 'Selected'.
FORMATS filter_$ (f1.0).
FILTER BY filter_$.
EXECUTE.     


REGRESSION
/DESCRIPTIVES MEAN STDDEV
  /MISSING listwise
  /STATISTICS COEFF OUTS CI (95) R ANOVA
  /CRITERIA=PIN(.05) POUT(.10)
  /NOORIGIN
  /DEPENDENT  q51_income_bal
   /METHOD=ENTER q55_int_gen  agegroup_bal Q50_educ_bal
    Q6_employed  q52_omit UAE  TUNISIA   JORDAN .

/* Model 2 cultural progressiveness

USE ALL.
COMPUTE filter_$=(Q8  =1 and (q2=2 or q2=3 or q2=5 or q2=6 or q2 = 7)  and q3_resp_gen = 0).
VARIABLE LABELS filter_$ 'Q8 = 1 and (q2=2 or q2=3 or q2=5 or q2=6 or q2 = 7)  and q3_resp_gen = 0 '+
    '(FILTER)'.
VALUE LABELS filter_$ 0 'Not Selected' 1 'Selected'.
FORMATS filter_$ (f1.0).
FILTER BY filter_$.
EXECUTE.     


REGRESSION
/DESCRIPTIVES MEAN STDDEV
  /MISSING listwise
  /STATISTICS COEFF OUTS CI (95) R ANOVA
  /CRITERIA=PIN(.05) POUT(.10)
  /NOORIGIN
  /DEPENDENT  q48_ideology
   /METHOD=ENTER q55_int_gen   agegroup_bal Q50_educ_bal
    Q6_employed  q52_omit QATAR  UAE  TUNISIA   JORDAN .

    /* Table E1. Men's Response Patterns with Rural-Urban Control Added.

weight by weight.
   
USE ALL.
COMPUTE filter_$=(Q8  =1 and (q2=2 or q2=3 or q2=5 or q2=6 or q2 = 7)  and q3_resp_gen = 0).
VARIABLE LABELS filter_$ 'Q8 = 1 and (q2=2 or q2=3 or q2=5 or q2=6 or q2 = 7)  and q3_resp_gen = 0 '+
    '(FILTER)'.
VALUE LABELS filter_$ 0 'Not Selected' 1 'Selected'.
FORMATS filter_$ (f1.0).
FILTER BY filter_$.
EXECUTE.     

/* Political Interest

REGRESSION
/DESCRIPTIVES MEAN STDDEV
  /MISSING listwise
  /STATISTICS COEFF OUTS CI (95) R ANOVA
  /CRITERIA=PIN(.05) POUT(.10)
  /NOORIGIN
  /DEPENDENT  q39A_interest_bal
   /METHOD=ENTER q55_int_gen  agegroup_bal Q50_educ_bal
    Q6_employed  q52_omit urbanD QATAR  UAE  TUNISIA   JORDAN.


/* Safe to talk freely about politics  deleting q39A_interest_bal,

REGRESSION
/DESCRIPTIVES MEAN STDDEV
  /MISSING listwise
  /STATISTICS COEFF CI (95) OUTS CI (95) R ANOVA
  /CRITERIA=PIN(.05) POUT(.10)
  /NOORIGIN
  /DEPENDENT  q35BF_index
   /METHOD=ENTER q55_int_gen   agegroup_bal Q50_educ_bal
    Q6_employed  q52_omit urbanD QATAR  UAE  TUNISIA   JORDAN.


/* Not worried about surveillance

REGRESSION
/DESCRIPTIVES MEAN STDDEV
  /MISSING listwise
  /STATISTICS COEFF OUTS CI (95) R ANOVA
  /CRITERIA=PIN(.05) POUT(.10)
  /NOORIGIN
  /DEPENDENT  q35DG_index_r
  /METHOD=ENTER q55_int_gen   agegroup_bal Q50_educ_bal
    Q6_employed  q52_omit urbanD QATAR  UAE  TUNISIA   JORDAN .

/* Country's laws are effective

REGRESSION
/DESCRIPTIVES MEAN STDDEV
  /MISSING listwise
  /STATISTICS COEFF OUTS CI (95) R ANOVA
  /CRITERIA=PIN(.05) POUT(.10)
  /NOORIGIN
  /DEPENDENT  q37C_omit
   /METHOD=ENTER q55_int_gen   agegroup_bal Q50_educ_bal
    Q6_employed  q52_omit urbanD QATAR  UAE  TUNISIA   JORDAN .

USE ALL.
COMPUTE filter_$=(Q8  =1 and (q2=2 or q2=3 or q2=5 or q2=6)  and q3_resp_gen = 0).
VARIABLE LABELS filter_$ 'Q8 = 1 and (q2=2 or q2=3 or q2=5 or q2=6)  and q3_resp_gen = 0 '+
    '(FILTER)'.
VALUE LABELS filter_$ 0 'Not Selected' 1 'Selected'.
FORMATS filter_$ (f1.0).
FILTER BY filter_$.
EXECUTE.     

/* aggregate support for gov control, excludes Jordan
/* support for regime's power to prevent criticism

USE ALL.
COMPUTE filter_$=(Q8  =1 and (q2=2 or q2=3 or q2=5 or q2=6)  and q3_resp_gen = 0).
VARIABLE LABELS filter_$ 'Q8 = 1 and (q2=2 or q2=3 or q2=5 or q2=6)  and q3_resp_gen = 0 '+
    '(FILTER)'.
VALUE LABELS filter_$ 0 'Not Selected' 1 'Selected'.
FORMATS filter_$ (f1.0).
FILTER BY filter_$.
EXECUTE.


LOGISTIC REGRESSION VARIABLES q47A_omit01 
  /METHOD=ENTER Q55_int_gen agegroup_bal q50_educ_bal Q6_employed q52_omit urbanD QATAR UAE TUNISIA
  /PRINT=CI (95) 
  /CRITERIA=PIN(.05) POUT(.10) ITERATE(20) CUT(.5).

   
/* Religiosity

USE ALL.
COMPUTE filter_$=(Q8  =1 and (q2=2  or q2=3 or q2=5 or q2=6)  and q3_resp_gen = 0).
VARIABLE LABELS filter_$ 'Q8 = 1 and (q2=2 or q2=3 or q2=5 or q2=6)  and q3_resp_gen = 0 '+
    '(FILTER)'.
VALUE LABELS filter_$ 0 'Not Selected' 1 'Selected'.
FORMATS filter_$ (f1.0).
FILTER BY filter_$.
EXECUTE.     


REGRESSION
/DESCRIPTIVES MEAN STDDEV
  /MISSING listwise
  /STATISTICS COEFF OUTS CI (95) R ANOVA
  /CRITERIA=PIN(.05) POUT(.10)
  /NOORIGIN
  /DEPENDENT  q49_relig
  /METHOD=ENTER q55_int_gen    agegroup_bal Q50_educ_bal
    Q6_employed  q52_omit  urbanD QATAR  UAE  TUNISIA.
    
/* Income

USE ALL.
COMPUTE filter_$=(Q8  =1 and (q2=2  or q2=5 or q2=6 or q2 = 7)  and q3_resp_gen = 0).
VARIABLE LABELS filter_$ 'Q8 = 1 and (q2=2 or q2=3 or q2=5 or q2=6 or q2 = 7)  and q3_resp_gen = 0 '+
    '(FILTER)'.
VALUE LABELS filter_$ 0 'Not Selected' 1 'Selected'.
FORMATS filter_$ (f1.0).
FILTER BY filter_$.
EXECUTE.     

REGRESSION
/DESCRIPTIVES MEAN STDDEV
  /MISSING listwise
  /STATISTICS COEFF OUTS R ANOVA
  /CRITERIA=PIN(.05) POUT(.10)
  /NOORIGIN
  /DEPENDENT  q51_income_bal
  /METHOD=ENTER q55_int_gen  agegroup_bal  Q50_educ_bal 
      Q6_employed  q52_omit  urbanD UAE  TUNISIA   JORDAN  .
  
/* Cultural Progressiveness

USE ALL.
COMPUTE filter_$=(Q8  =1 and (q2=2 or q2=3 or q2=5 or q2=6 or q2 = 7)  and q3_resp_gen = 0).
VARIABLE LABELS filter_$ 'Q8 = 1 and (q2=2 or q2=3 or q2=5 or q2=6 or q2 = 7)  and q3_resp_gen = 0 '+
    '(FILTER)'.
VALUE LABELS filter_$ 0 'Not Selected' 1 'Selected'.
FORMATS filter_$ (f1.0).
FILTER BY filter_$.
EXECUTE.     

REGRESSION
/DESCRIPTIVES MEAN STDDEV
  /MISSING listwise
  /STATISTICS COEFF OUTS R ANOVA
  /CRITERIA=PIN(.05) POUT(.10)
  /NOORIGIN
  /DEPENDENT  q48_ideology
  /METHOD=ENTER q55_int_gen  agegroup_bal Q50_educ_bal 
    Q6_employed  q52_omit urbanD QATAR  UAE  TUNISIA   JORDAN.

/* Table F. Results by country
    
/* Aggregate, see code for Table 5.

/* Jordan response tendences
        

USE ALL.
COMPUTE filter_$=(Q8  =1 and (q2=7)  and q3_resp_gen = 0).
VARIABLE LABELS filter_$ 'Q8 = 1 and (q2=7)  and q3_resp_gen = 0 '+
    '(FILTER)'.
VALUE LABELS filter_$ 0 'Not Selected' 1 'Selected'.
FORMATS filter_$ (f1.0).
FILTER BY filter_$.
EXECUTE.


/* Jordan political interest

REGRESSION
/DESCRIPTIVES MEAN STDDEV
  /MISSING listwise
  /STATISTICS COEFF OUTS R ANOVA
  /CRITERIA=PIN(.05) POUT(.10)
  /NOORIGIN
  /DEPENDENT  q39A_interest_bal
  /METHOD=ENTER q55_int_gen agegroup_bal Q50_educ_bal 
    Q6_employed  q52_omit    JORD2	JORD3	JORD4	JORD5	JORD6	JORD7	JORD8	JORD9	JORD10	JORD11	JORD12.
    

/* Jordan political safety


REGRESSION
/DESCRIPTIVES MEAN STDDEV
  /MISSING listwise
  /STATISTICS COEFF OUTS R ANOVA
  /CRITERIA=PIN(.05) POUT(.10)
  /NOORIGIN
  /DEPENDENT  q35BF_index
   /METHOD=ENTER q55_int_gen agegroup_bal Q50_educ_bal 
    Q6_employed  q52_omit    JORD2	JORD3	JORD4	JORD5	JORD6	JORD7	JORD8	JORD9	JORD10	JORD11	JORD12.

/* Jordan surveillance anxiety

REGRESSION
/DESCRIPTIVES MEAN STDDEV
  /MISSING listwise
  /STATISTICS COEFF OUTS R ANOVA
  /CRITERIA=PIN(.05) POUT(.10)
  /NOORIGIN
  /DEPENDENT  q35DG_index_r
  /METHOD=ENTER q55_int_gen agegroup_bal Q50_educ_bal 
    Q6_employed  q52_omit    JORD2	JORD3	JORD4	JORD5	JORD6	JORD7	JORD8	JORD9	JORD10	JORD11	JORD12.

/* JORDAN Laws governing journalism     

REGRESSION
/DESCRIPTIVES MEAN STDDEV
  /MISSING listwise
  /STATISTICS COEFF OUTS R ANOVA
  /CRITERIA=PIN(.05) POUT(.10)
  /NOORIGIN
  /DEPENDENT  q37c_omit
  /METHOD=ENTER q55_int_gen agegroup_bal Q50_educ_bal 
    Q6_employed  q52_omit    JORD2	JORD3	JORD4	JORD5	JORD6	JORD7	JORD8	JORD9	JORD10	JORD11	JORD12.

/* missing questions in Jordan (support forr regime's power to limit criticism, and religiosity


REGRESSION
/DESCRIPTIVES MEAN STDDEV
  /MISSING listwise
  /STATISTICS COEFF OUTS R ANOVA
  /CRITERIA=PIN(.05) POUT(.10)
  /NOORIGIN
  /DEPENDENT  q51_income_bal
  /METHOD=ENTER q55_int_gen agegroup_bal Q50_educ_bal 
    Q6_employed  q52_omit    JORD2	JORD3	JORD4	JORD5	JORD6	JORD7	JORD8	JORD9	JORD10	JORD11	JORD12.

REGRESSION
/DESCRIPTIVES MEAN STDDEV
  /MISSING listwise
  /STATISTICS COEFF OUTS R ANOVA
  /CRITERIA=PIN(.05) POUT(.10)
  /NOORIGIN
  /DEPENDENT  q48_ideology
  /METHOD=ENTER q55_int_gen agegroup_bal Q50_educ_bal 
    Q6_employed  q52_omit    JORD2	JORD3	JORD4 JORD5	JORD6	JORD7	JORD8	JORD9	JORD10	JORD11	JORD12.


/* Lebanon response tendencies
      

USE ALL.
COMPUTE filter_$=(Q8  =1 and (q2=2)  and q3_resp_gen = 0).
VARIABLE LABELS filter_$ 'Q8 = 1 and (q2=2)  and q3_resp_gen = 0 '+
    '(FILTER)'.
VALUE LABELS filter_$ 0 'Not Selected' 1 'Selected'.
FORMATS filter_$ (f1.0).
FILTER BY filter_$.
EXECUTE.


/* Lebanon political interest

REGRESSION
/DESCRIPTIVES MEAN STDDEV
  /MISSING listwise
  /STATISTICS COEFF OUTS R ANOVA
  /CRITERIA=PIN(.05) POUT(.10)
  /NOORIGIN
  /DEPENDENT  q39A_interest_bal
  /METHOD=ENTER q55_int_gen  agegroup_bal Q50_educ_bal 
    Q6_employed q52_omit    LEBANON2 LEBANON3 LEBANON4	LEBANON5	LEBANON6.

/*/* Lebanon  political safety

REGRESSION
/DESCRIPTIVES MEAN STDDEV
  /MISSING listwise
  /STATISTICS COEFF OUTS R ANOVA
  /CRITERIA=PIN(.05) POUT(.10)
  /NOORIGIN
  /DEPENDENT  q35BF_index
  /METHOD=ENTER q55_int_gen  agegroup_bal Q50_educ_bal 
    Q6_employed q52_omit    LEBANON2 LEBANON3 LEBANON4	LEBANON5	LEBANON6 .	


/*/* Lebanon surveillance anxiety

REGRESSION
/DESCRIPTIVES MEAN STDDEV
  /MISSING listwise
  /STATISTICS COEFF OUTS R ANOVA
  /CRITERIA=PIN(.05) POUT(.10)
  /NOORIGIN
  /DEPENDENT  q35DG_index_r
  /METHOD=ENTER q55_int_gen  agegroup_bal Q50_educ_bal 
    Q6_employed q52_omit    LEBANON2 LEBANON3 LEBANON4	LEBANON5	LEBANON6.	

/* Lebanon Country's laws are effective     

REGRESSION
/DESCRIPTIVES MEAN STDDEV
  /MISSING listwise
  /STATISTICS COEFF OUTS R ANOVA
  /CRITERIA=PIN(.05) POUT(.10)
  /NOORIGIN
  /DEPENDENT  q37C_omit
  /METHOD=ENTER q55_int_gen  agegroup_bal Q50_educ_bal 
    Q6_employed q52_omit    LEBANON2 LEBANON3 LEBANON4	LEBANON5	LEBANON6.

/* Lebanon Support for regime's power to prevent criticism

LOGISTIC REGRESSION VARIABLES q47A_omit01 
  /METHOD=ENTER q55_int_gen  agegroup_bal Q50_educ_bal 
    Q6_employed q52_omit    LEBANON2 LEBANON3 LEBANON4	LEBANON5	LEBANON6 
      /PRINT=CI (95) 	
  /CRITERIA=PIN(.05) POUT(.10) ITERATE(20) CUT(.5).

* Lebanon religiosity 

REGRESSION
/DESCRIPTIVES MEAN STDDEV
  /MISSING listwise
  /STATISTICS COEFF OUTS R ANOVA
  /CRITERIA=PIN(.05) POUT(.10)
  /NOORIGIN
  /DEPENDENT  q49_relig
  /METHOD=ENTER q55_int_gen  agegroup_bal Q50_educ_bal 
    Q6_employed q52_omit    LEBANON2 LEBANON3 LEBANON4	LEBANON5	LEBANON6.

/* Lebanon  income

REGRESSION
/DESCRIPTIVES MEAN STDDEV
  /MISSING listwise
  /STATISTICS COEFF OUTS R ANOVA
  /CRITERIA=PIN(.05) POUT(.10)
  /NOORIGIN
  /DEPENDENT  q51_income_bal
  /METHOD=ENTER q55_int_gen  agegroup_bal Q50_educ_bal 
    Q6_employed q52_omit    LEBANON2 LEBANON3 LEBANON4	LEBANON5	LEBANON6.

/* Lebabnon cultural progressiveness

REGRESSION
/DESCRIPTIVES MEAN STDDEV
  /MISSING listwise
  /STATISTICS COEFF OUTS R ANOVA
  /CRITERIA=PIN(.05) POUT(.10)
  /NOORIGIN
  /DEPENDENT  q48_ideology
  /METHOD=ENTER q55_int_gen  agegroup_bal Q50_educ_bal 
    Q6_employed q52_omit    LEBANON2 LEBANON3 LEBANON4	LEBANON5	LEBANON6.

 
/* Tunisia
    

USE ALL.
COMPUTE filter_$=(Q8  =1 and (q2=5)  and q3_resp_gen = 0).
VARIABLE LABELS filter_$ 'Q8 = 1 and (q2=5)  and q3_resp_gen = 0 '+
    '(FILTER)'.
VALUE LABELS filter_$ 0 'Not Selected' 1 'Selected'.
FORMATS filter_$ (f1.0).
FILTER BY filter_$.
EXECUTE.

/* Tunisia Political interest

REGRESSION
/DESCRIPTIVES MEAN STDDEV
  /MISSING listwise
  /STATISTICS COEFF OUTS R ANOVA
  /CRITERIA=PIN(.05) POUT(.10)
  /NOORIGIN
  /DEPENDENT  q39A_interest_bal
  /METHOD=ENTER q55_int_gen   agegroup_bal Q50_educ_bal 
    Q6_employed  q52_omit    TUNISIA8	TUNISIA9	TUNISIA10	TUNISIA11	TUNISIA12	TUNISIA13 .


/*  Tunisia  Safe to talk freely


REGRESSION
/DESCRIPTIVES MEAN STDDEV
  /MISSING listwise
  /STATISTICS COEFF OUTS R ANOVA
  /CRITERIA=PIN(.05) POUT(.10)
  /NOORIGIN
  /DEPENDENT  q35BF_index
  /METHOD=ENTER q55_int_gen   agegroup_bal Q50_educ_bal 
    Q6_employed  q52_omit    TUNISIA8	TUNISIA9	TUNISIA10	TUNISIA11	TUNISIA12	TUNISIA13 .


/* Tunisia Not worried about surveillance

REGRESSION
/DESCRIPTIVES MEAN STDDEV
  /MISSING listwise
  /STATISTICS COEFF OUTS R ANOVA
  /CRITERIA=PIN(.05) POUT(.10)
  /NOORIGIN
  /DEPENDENT  q35DG_index_r
  /METHOD=ENTER q55_int_gen   agegroup_bal Q50_educ_bal 
    Q6_employed  q52_omit    TUNISIA8	TUNISIA9	TUNISIA10	TUNISIA11	TUNISIA12	TUNISIA13 .


/* Tunisia country's laws are effective
    

REGRESSION
/DESCRIPTIVES MEAN STDDEV
  /MISSING listwise
  /STATISTICS COEFF OUTS R ANOVA
  /CRITERIA=PIN(.05) POUT(.10)
  /NOORIGIN
  /DEPENDENT  q37C_omit
  /METHOD=ENTER q55_int_gen   agegroup_bal Q50_educ_bal 
    Q6_employed  q52_omit    TUNISIA8	TUNISIA9	TUNISIA10	TUNISIA11	TUNISIA12	TUNISIA13 .

/* Tunisia support for gov control

LOGISTIC REGRESSION VARIABLES q47A_omit01 
  /METHOD=ENTER q55_int_gen   agegroup_bal Q50_educ_bal 
    Q6_employed  q52_omit    TUNISIA8	TUNISIA9	TUNISIA10	TUNISIA11	TUNISIA12	TUNISIA13
      /PRINT=CI (95) 
  /CRITERIA=PIN(.05) POUT(.10) ITERATE(20) CUT(.5).

 *   Tunisia religiosity

REGRESSION
/DESCRIPTIVES MEAN STDDEV
  /MISSING listwise
  /STATISTICS COEFF OUTS R ANOVA
  /CRITERIA=PIN(.05) POUT(.10)
  /NOORIGIN
  /DEPENDENT  q49_relig
  /METHOD=ENTER q55_int_gen   agegroup_bal Q50_educ_bal 
    Q6_employed  q52_omit    TUNISIA8	TUNISIA9	TUNISIA10	TUNISIA11	TUNISIA12	TUNISIA13 .

/* Tunisia income

REGRESSION
/DESCRIPTIVES MEAN STDDEV
  /MISSING listwise
  /STATISTICS COEFF OUTS R ANOVA
  /CRITERIA=PIN(.05) POUT(.10)
  /NOORIGIN
  /DEPENDENT  q51_income_bal
  /METHOD=ENTER q55_int_gen   agegroup_bal Q50_educ_bal 
    Q6_employed  q52_omit     TUNISIA8	TUNISIA9	TUNISIA10	TUNISIA11	TUNISIA12	TUNISIA13 .

/*Tunisia cultural progressiveness

REGRESSION
/DESCRIPTIVES MEAN STDDEV
  /MISSING listwise
  /STATISTICS COEFF OUTS R ANOVA
  /CRITERIA=PIN(.05) POUT(.10)
  /NOORIGIN
  /DEPENDENT  q48_ideology
  /METHOD=ENTER q55_int_gen   agegroup_bal Q50_educ_bal 
    Q6_employed  q52_omit    TUNISIA8	TUNISIA9	TUNISIA10	TUNISIA11	TUNISIA12	TUNISIA13 .

/* Table G1. Response patterns for women respondents in two countries
    

WEIGHT BY WEIGHT.

USE ALL.
COMPUTE filter_$=(Q8  =1 and (q2=2 or q2=5)  and q3_resp_gen = 1).
VARIABLE LABELS filter_$ 'Q8 = 1 and (q2=2  or q2=5)  and q3_resp_gen = 1 '+
    '(FILTER)'.
VALUE LABELS filter_$ 0 'Not Selected' 1 'Selected'.
FORMATS filter_$ (f1.0).
FILTER BY filter_$.
EXECUTE.

/* Women respondents: Political interest

REGRESSION
/DESCRIPTIVES MEAN STDDEV
  /MISSING listwise
  /STATISTICS COEFF OUTS R ANOVA
  /CRITERIA=PIN(.05) POUT(.10)
  /NOORIGIN
  /DEPENDENT  q39A_interest_bal
  /METHOD=ENTER q55_int_gen agegroup_bal Q50_educ_bal
    Q6_employed  q52_omit TUNISIA. 


/* Women respondents: Safe to talk about politics

REGRESSION
/DESCRIPTIVES MEAN STDDEV
  /MISSING listwise
  /STATISTICS COEFF OUTS R ANOVA
  /CRITERIA=PIN(.05) POUT(.10)
  /NOORIGIN
  /DEPENDENT  q35BF_index
  /METHOD=ENTER q55_int_gen agegroup_bal Q50_educ_bal
    Q6_employed  q52_omit TUNISIA. 


/* Women respondents: Not worried about surveillance

REGRESSION
/DESCRIPTIVES MEAN STDDEV
  /MISSING listwise
  /STATISTICS COEFF OUTS R ANOVA
  /CRITERIA=PIN(.05) POUT(.10)
  /NOORIGIN
  /DEPENDENT  q35DG_index_r
  /METHOD=ENTER q55_int_gen agegroup_bal Q50_educ_bal
    Q6_employed  q52_omit  TUNISIA.         
    

/* Women respondents: Country's laws are effective
    
REGRESSION
/DESCRIPTIVES MEAN STDDEV
  /MISSING listwise
  /STATISTICS COEFF OUTS R ANOVA
  /CRITERIA=PIN(.05) POUT(.10)
  /NOORIGIN
  /DEPENDENT  q37C_omit
  /METHOD=ENTER q55_int_gen agegroup_bal Q50_educ_bal
    Q6_employed  q52_omit TUNISIA. 


/* Women respondents: Support for regime's power to prevent criticism

LOGISTIC REGRESSION VARIABLES q47A_omit01
  /METHOD=ENTER Q55_int_gen agegroup_bal Q50_educ_bal  Q6_employed    
    q52_omit TUNISIA    
  /CRITERIA=PIN(.05) POUT(.10) ITERATE(20) CUT(.5).


/* Women respondents: religiosity  

REGRESSION
/DESCRIPTIVES MEAN STDDEV
  /MISSING listwise
  /STATISTICS COEFF OUTS R ANOVA
  /CRITERIA=PIN(.05) POUT(.10)
  /NOORIGIN
  /DEPENDENT  q49_relig
  /METHOD=ENTER q55_int_gen agegroup_bal Q50_educ_bal
    Q6_employed  q52_omit TUNISIA. 
      

/* Women respondents: Income

REGRESSION
/DESCRIPTIVES MEAN STDDEV
  /MISSING listwise
  /STATISTICS COEFF OUTS R ANOVA
  /CRITERIA=PIN(.05) POUT(.10)
  /NOORIGIN
  /DEPENDENT  q51_income_bal
  /METHOD=ENTER q55_int_gen agegroup_bal Q50_educ_bal
    Q6_employed  q52_omit TUNISIA. 
  

/* Women respondents: Cultural progressiveness

REGRESSION
/DESCRIPTIVES MEAN STDDEV
  /MISSING listwise
  /STATISTICS COEFF OUTS R ANOVA
  /CRITERIA=PIN(.05) POUT(.10)
  /NOORIGIN
  /DEPENDENT  q48_ideology
  /METHOD=ENTER q55_int_gen agegroup_bal Q50_educ_bal
    Q6_employed  q52_omit   TUNISIA. 

/* Table G2. Response patterns: Women Respondents by Country
    
/* Aggregate: see code for Table G1.

/*Lebanon: Women response patterns
            

USE ALL.
COMPUTE filter_$=(Q8  =1 and (q2=2)  and q3_resp_gen = 1).
VARIABLE LABELS filter_$ 'Q8 = 1 and (q2=2)  and q3_resp_gen = 1 '+
    '(FILTER)'.
VALUE LABELS filter_$ 0 'Not Selected' 1 'Selected'.
FORMATS filter_$ (f1.0).
FILTER BY filter_$.
EXECUTE.

/* Lebanon: Women political interest

REGRESSION
/DESCRIPTIVES MEAN STDDEV
  /MISSING listwise
  /STATISTICS COEFF OUTS R ANOVA
  /CRITERIA=PIN(.05) POUT(.10)
  /NOORIGIN
  /DEPENDENT  q39A_interest_bal
  /METHOD=ENTER q55_int_gen  agegroup_bal Q50_educ_bal 
    Q6_employed q52_omit LEBANON2 LEBANON3 LEBANON4	LEBANON5	LEBANON6.

/* Lebanon: Women Safet to talk about politics

REGRESSION
/DESCRIPTIVES MEAN STDDEV
  /MISSING listwise
  /STATISTICS COEFF OUTS R ANOVA
  /CRITERIA=PIN(.05) POUT(.10)
  /NOORIGIN
  /DEPENDENT  q35BF_index
  /METHOD=ENTER q55_int_gen  agegroup_bal Q50_educ_bal 
    Q6_employed q52_omit LEBANON2 LEBANON3 LEBANON4	LEBANON5	LEBANON6 .

/* Lebanon: Women Not worried about surveillance

REGRESSION
/DESCRIPTIVES MEAN STDDEV
  /MISSING listwise
  /STATISTICS COEFF OUTS R ANOVA
  /CRITERIA=PIN(.05) POUT(.10)
  /NOORIGIN
  /DEPENDENT  q35DG_index_r
  /METHOD=ENTER q55_int_gen  agegroup_bal Q50_educ_bal 
    Q6_employed q52_omit LEBANON2 LEBANON3 LEBANON4	LEBANON5	LEBANON6.

/* Lebanon: Country's laws are effective

REGRESSION
/DESCRIPTIVES MEAN STDDEV
  /MISSING listwise
  /STATISTICS COEFF OUTS R ANOVA
  /CRITERIA=PIN(.05) POUT(.10)
  /NOORIGIN
  /DEPENDENT  q37C_omit
  /METHOD=ENTER q55_int_gen  agegroup_bal Q50_educ_bal 
    Q6_employed q52_omit LEBANON2 LEBANON3 LEBANON4	LEBANON5	LEBANON6.

/* Lebanon: Women Support for regime's power to prevent criticism

LOGISTIC REGRESSION VARIABLES q47A_omit01 
  /METHOD=ENTER Q55_int_gen agegroup_bal q50_educ_bal Q6_employed q52_omit LEBANON2 LEBANON3 LEBANON4	LEBANON5	LEBANON6
  /CRITERIA=PIN(.05) POUT(.10) ITERATE(20) CUT(.5).
 
/* Lebanon: Women Religiosity

REGRESSION
/DESCRIPTIVES MEAN STDDEV
  /MISSING listwise
  /STATISTICS COEFF OUTS R ANOVA
  /CRITERIA=PIN(.05) POUT(.10)
  /NOORIGIN
  /DEPENDENT  q49_relig
  /METHOD=ENTER q55_int_gen  agegroup_bal Q50_educ_bal 
    Q6_employed q52_omit LEBANON2 LEBANON3 LEBANON4	LEBANON5	LEBANON6.

/* Lebanon: Women Income

REGRESSION
/DESCRIPTIVES MEAN STDDEV
  /MISSING listwise
  /STATISTICS COEFF OUTS R ANOVA
  /CRITERIA=PIN(.05) POUT(.10)
  /NOORIGIN
  /DEPENDENT  q51_income_bal
  /METHOD=ENTER q55_int_gen  agegroup_bal Q50_educ_bal 
    Q6_employed q52_omit LEBANON2 LEBANON3 LEBANON4	LEBANON5	LEBANON6.

/* Lebanon: Women Cultural progressiveness

REGRESSION
/DESCRIPTIVES MEAN STDDEV
  /MISSING listwise
  /STATISTICS COEFF OUTS R ANOVA
  /CRITERIA=PIN(.05) POUT(.10)
  /NOORIGIN
  /DEPENDENT  q48_ideology
  /METHOD=ENTER q55_int_gen  agegroup_bal Q50_educ_bal 
    Q6_employed q52_omit LEBANON2 LEBANON3 LEBANON4	LEBANON5	LEBANON6.

 
/* Tunisia: Women's response patterns
    


USE ALL.
COMPUTE filter_$=(Q8  =1 and (q2=5)  and q3_resp_gen = 1).
VARIABLE LABELS filter_$ 'Q8 = 1 and (q2=5)  and q3_resp_gen = 1 '+
    '(FILTER)'.
VALUE LABELS filter_$ 0 'Not Selected' 1 'Selected'.
FORMATS filter_$ (f1.0).
FILTER BY filter_$.
EXECUTE.


/* Tunisia Women Political Interest

REGRESSION
/DESCRIPTIVES MEAN STDDEV
  /MISSING listwise
  /STATISTICS COEFF OUTS R ANOVA
  /CRITERIA=PIN(.05) POUT(.10)
  /NOORIGIN
  /DEPENDENT  q39A_interest_bal
  /METHOD=ENTER q55_int_gen   agegroup_bal Q50_educ_bal 
    Q6_employed  q52_omit TUNISIA8	TUNISIA9	TUNISIA10	TUNISIA11	TUNISIA12	TUNISIA13 .


/*  Tunisia  Women  Safe to talk about politics

REGRESSION
/DESCRIPTIVES MEAN STDDEV
  /MISSING listwise
  /STATISTICS COEFF OUTS R ANOVA
  /CRITERIA=PIN(.05) POUT(.10)
  /NOORIGIN
  /DEPENDENT  q35BF_index
  /METHOD=ENTER q55_int_gen   agegroup_bal Q50_educ_bal 
    Q6_employed  q52_omit TUNISIA8	TUNISIA9	TUNISIA10	TUNISIA11	TUNISIA12	TUNISIA13 .


*  Tunisia  Women Not worried about surveillance

REGRESSION
/DESCRIPTIVES MEAN STDDEV
  /MISSING listwise
  /STATISTICS COEFF OUTS R ANOVA
  /CRITERIA=PIN(.05) POUT(.10)
  /NOORIGIN
  /DEPENDENT  q35DG_index_r
  /METHOD=ENTER q55_int_gen   agegroup_bal Q50_educ_bal 
    Q6_employed  q52_omit TUNISIA8	TUNISIA9	TUNISIA10	TUNISIA11	TUNISIA12	TUNISIA13 .

*  Tunisia  Women Country's laws are effective
    

REGRESSION
/DESCRIPTIVES MEAN STDDEV
  /MISSING listwise
  /STATISTICS COEFF OUTS R ANOVA
  /CRITERIA=PIN(.05) POUT(.10)
  /NOORIGIN
  /DEPENDENT  q37C_omit
  /METHOD=ENTER q55_int_gen   agegroup_bal Q50_educ_bal 
    Q6_employed  q52_omit TUNISIA8	TUNISIA9	TUNISIA10	TUNISIA11	TUNISIA12	TUNISIA13 .

/* Tunisia Women Support for regime's power to prevent criticisml


LOGISTIC REGRESSION VARIABLES q47A_omit01
  /METHOD=ENTER Q55_int_gen agegroup_bal Q50_educ_bal  Q6_employed    
    q52_omit   TUNISIA8	TUNISIA9	TUNISIA10	TUNISIA11	TUNISIA12	TUNISIA13
  /CRITERIA=PIN(.05) POUT(.10) ITERATE(20) CUT(.5).

*  Tunisia  Women Religiosity

REGRESSION
/DESCRIPTIVES MEAN STDDEV
  /MISSING listwise
  /STATISTICS COEFF OUTS R ANOVA
  /CRITERIA=PIN(.05) POUT(.10)
  /NOORIGIN
  /DEPENDENT  q49_relig
  /METHOD=ENTER q55_int_gen   agegroup_bal Q50_educ_bal 
    Q6_employed  q52_omit TUNISIA8	TUNISIA9	TUNISIA10	TUNISIA11	TUNISIA12	TUNISIA13 .

*  Tunisia  Women Income

REGRESSION
/DESCRIPTIVES MEAN STDDEV
  /MISSING listwise
  /STATISTICS COEFF OUTS R ANOVA
  /CRITERIA=PIN(.05) POUT(.10)
  /NOORIGIN
  /DEPENDENT  q51_income_bal
  /METHOD=ENTER q55_int_gen   agegroup_bal Q50_educ_bal 
    Q6_employed  q52_omit  TUNISIA8	TUNISIA9	TUNISIA10	TUNISIA11	TUNISIA12	TUNISIA13 .

*  Tunisia  Women Cultural Progressiveness

REGRESSION
/DESCRIPTIVES MEAN STDDEV
  /MISSING listwise
  /STATISTICS COEFF OUTS R ANOVA
  /CRITERIA=PIN(.05) POUT(.10)
  /NOORIGIN
  /DEPENDENT  q48_ideology
  /METHOD=ENTER q55_int_gen   agegroup_bal Q50_educ_bal 
    Q6_employed  q52_omit TUNISIA8	TUNISIA9	TUNISIA10	TUNISIA11	TUNISIA12	TUNISIA13 .


/* Table G3. Item Nonresponse % for Women Respondents


/* Women's nonresponse % aggregate
  

WEIGHT BY WEIGHT.

USE ALL.
COMPUTE filter_$=(Q8  =1 and (q2=2 or q2=5)  and q3_resp_gen = 1).
VARIABLE LABELS filter_$ 'Q8 = 1 and (q2=2  or q2=5)  and q3_resp_gen = 1 '+
    '(FILTER)'.
VALUE LABELS filter_$ 0 'Not Selected' 1 'Selected'.
FORMATS filter_$ (f1.0).
FILTER BY filter_$.
EXECUTE.

    
FREQUENCIES VARIABLES=q39A_interest_bal_bothdkref q35B_bothdkref q35F_bothdkref q35D_bothdkref 
    q35G_bothdkref q37C_bothdkref q47A_bothdkref q49_relig_dkref q51_income_dkref Q48_ideology_dkref 
  /ORDER=ANALYSIS.

/* Lebanon Women's nonresponse %
    
WEIGHT BY WEIGHT.

USE ALL.
COMPUTE filter_$=(Q8  =1 and (q2=2 )  and q3_resp_gen = 1).
VARIABLE LABELS filter_$ 'Q8 = 1 and (q2=2)  and q3_resp_gen = 1 '+
    '(FILTER)'.
VALUE LABELS filter_$ 0 'Not Selected' 1 'Selected'.
FORMATS filter_$ (f1.0).
FILTER BY filter_$.
EXECUTE.

 
FREQUENCIES VARIABLES=q39A_interest_bal_bothdkref q35B_bothdkref q35F_bothdkref q35D_bothdkref 
    q35G_bothdkref q37C_bothdkref q47A_bothdkref q49_relig_dkref q51_income_dkref Q48_ideology_dkref 
  /ORDER=ANALYSIS.

/* Tunisia Women nonresponse %
 
weight by weight.

USE ALL.
COMPUTE filter_$=(Q8  =1 and (q2=5 )  and q3_resp_gen = 1).
VARIABLE LABELS filter_$ 'Q8 = 1 and (q2=5)  and q3_resp_gen = 1 '+
    '(FILTER)'.
VALUE LABELS filter_$ 0 'Not Selected' 1 'Selected'.
FORMATS filter_$ (f1.0).
FILTER BY filter_$.
EXECUTE.

 
FREQUENCIES VARIABLES=q39A_interest_bal_bothdkref q35B_bothdkref q35F_bothdkref q35D_bothdkref 
    q35G_bothdkref q37C_bothdkref q47A_bothdkref q49_relig_dkref q51_income_dkref Q48_ideology_dkref 
  /ORDER=ANALYSIS.


/* Table G4.  Item nonrespons: Women respondents in two countries


weight by weight.

USE ALL.
COMPUTE filter_$=(Q8  =1 and (q2=5 or q2 = 2)  and q3_resp_gen = 1).
VARIABLE LABELS filter_$ 'Q8 = 1 and (q2=5 or q2 = 2)  and q3_resp_gen = 1 '+
    '(FILTER)'.
VALUE LABELS filter_$ 0 'Not Selected' 1 'Selected'.
FORMATS filter_$ (f1.0).
FILTER BY filter_$.
EXECUTE.


LOGISTIC REGRESSION VARIABLES q39A_interest_bal_bothdkref 
  /METHOD=ENTER q55_int_gen  agegroup_bal Q50_educ_bal 
    Q6_employed  q52_omit  TUNISIA
  /CRITERIA=PIN(.05) POUT(.10) ITERATE(20) CUT(.5).

REGRESSION
/DESCRIPTIVES MEAN STDDEV
  /MISSING listwise
  /STATISTICS COEFF OUTS R ANOVA
  /CRITERIA=PIN(.05) POUT(.10)
  /NOORIGIN
  /DEPENDENT  q35BF_dkref_sum
  /METHOD=ENTER q55_int_gen  agegroup_bal Q50_educ_bal 
    Q6_employed  q52_omit TUNISIA .

REGRESSION
/DESCRIPTIVES MEAN STDDEV
  /MISSING listwise
  /STATISTICS COEFF OUTS R ANOVA
  /CRITERIA=PIN(.05) POUT(.10)
  /NOORIGIN
  /DEPENDENT  q35DG_dkref_sum
  /METHOD=ENTER q55_int_gen  agegroup_bal Q50_educ_bal 
    Q6_employed  q52_omit  TUNISIA .


LOGISTIC REGRESSION VARIABLES q37C_bothdkref 
  /METHOD=ENTER q55_int_gen  agegroup_bal Q50_educ_bal 
    Q6_employed  q52_omit  TUNISIA 
  /CRITERIA=PIN(.05) POUT(.10) ITERATE(20) CUT(.5).

LOGISTIC REGRESSION VARIABLES q47A_bothdkref 
  /METHOD=ENTER q55_int_gen  agegroup_bal Q50_educ_bal 
    Q6_employed  q52_omit  TUNISIA
  /CRITERIA=PIN(.05) POUT(.10) ITERATE(20) CUT(.5).


LOGISTIC REGRESSION VARIABLES q49_relig_dkref 
  /METHOD=ENTER q55_int_gen  agegroup_bal Q50_educ_bal 
    Q6_employed  q52_omit  TUNISIA
  /CRITERIA=PIN(.05) POUT(.10) ITERATE(20) CUT(.5).

LOGISTIC REGRESSION VARIABLES q51_income_dkref 
  /METHOD=ENTER q55_int_gen  agegroup_bal Q50_educ_bal 
    Q6_employed  q52_omit  TUNISIA
  /CRITERIA=PIN(.05) POUT(.10) ITERATE(20) CUT(.5).



